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In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography

SIGNIFICANCE: Pharmacokinetic parametric images in dynamic fluorescence molecular tomography (FMT) can describe three-dimensional (3D) physiological and pathological information inside biological tissues, potentially providing quantitative assessment tools for biological research and drug developmen...

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Autores principales: Liu, Fei, Zhang, Peng, Liu, Zeyu, Song, Fan, Ma, Chenbin, Sun, Yangyang, Feng, Youdan, He, Yufang, Zhang, Guanglei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270690/
https://www.ncbi.nlm.nih.gov/pubmed/35810324
http://dx.doi.org/10.1117/1.JBO.27.7.070501
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author Liu, Fei
Zhang, Peng
Liu, Zeyu
Song, Fan
Ma, Chenbin
Sun, Yangyang
Feng, Youdan
He, Yufang
Zhang, Guanglei
author_facet Liu, Fei
Zhang, Peng
Liu, Zeyu
Song, Fan
Ma, Chenbin
Sun, Yangyang
Feng, Youdan
He, Yufang
Zhang, Guanglei
author_sort Liu, Fei
collection PubMed
description SIGNIFICANCE: Pharmacokinetic parametric images in dynamic fluorescence molecular tomography (FMT) can describe three-dimensional (3D) physiological and pathological information inside biological tissues, potentially providing quantitative assessment tools for biological research and drug development. AIM: In vivo imaging of the liver tumor with pharmacokinetic parametric images from dynamic FMT based on the differences in metabolic properties of indocyanine green (ICG) between normal liver cells and tumor liver cells inside biological tissues. APPROACH: First, an orthotopic liver tumor mouse model was constructed. Then, with the help of the FMT/computer tomography (CT) dual-modality imaging system and the direct reconstruction algorithm, 3D imaging of liver metabolic parameters in nude mice was achieved to distinguish liver tumors from normal tissues. Finally, pharmacokinetic parametric imaging results were validated against in vitro anatomical results. RESULTS: This letter demonstrates the ability of dynamic FMT to monitor the pharmacokinetic delivery of the fluorescent dye ICG in vivo, thus, enabling the distinction between normal and tumor tissues based on the pharmacokinetic parametric images derived from dynamic FMT. CONCLUSIONS: Compared with CT structural imaging technology, dynamic FMT combined with compartmental modeling as an analytical method can obtain quantitative images of pharmacokinetic parameters, thus providing a more powerful research tool for organ function assessment, disease diagnosis and new drug development.
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spelling pubmed-92706902022-07-09 In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography Liu, Fei Zhang, Peng Liu, Zeyu Song, Fan Ma, Chenbin Sun, Yangyang Feng, Youdan He, Yufang Zhang, Guanglei J Biomed Opt JBO Letters SIGNIFICANCE: Pharmacokinetic parametric images in dynamic fluorescence molecular tomography (FMT) can describe three-dimensional (3D) physiological and pathological information inside biological tissues, potentially providing quantitative assessment tools for biological research and drug development. AIM: In vivo imaging of the liver tumor with pharmacokinetic parametric images from dynamic FMT based on the differences in metabolic properties of indocyanine green (ICG) between normal liver cells and tumor liver cells inside biological tissues. APPROACH: First, an orthotopic liver tumor mouse model was constructed. Then, with the help of the FMT/computer tomography (CT) dual-modality imaging system and the direct reconstruction algorithm, 3D imaging of liver metabolic parameters in nude mice was achieved to distinguish liver tumors from normal tissues. Finally, pharmacokinetic parametric imaging results were validated against in vitro anatomical results. RESULTS: This letter demonstrates the ability of dynamic FMT to monitor the pharmacokinetic delivery of the fluorescent dye ICG in vivo, thus, enabling the distinction between normal and tumor tissues based on the pharmacokinetic parametric images derived from dynamic FMT. CONCLUSIONS: Compared with CT structural imaging technology, dynamic FMT combined with compartmental modeling as an analytical method can obtain quantitative images of pharmacokinetic parameters, thus providing a more powerful research tool for organ function assessment, disease diagnosis and new drug development. Society of Photo-Optical Instrumentation Engineers 2022-07-09 2022-07 /pmc/articles/PMC9270690/ /pubmed/35810324 http://dx.doi.org/10.1117/1.JBO.27.7.070501 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle JBO Letters
Liu, Fei
Zhang, Peng
Liu, Zeyu
Song, Fan
Ma, Chenbin
Sun, Yangyang
Feng, Youdan
He, Yufang
Zhang, Guanglei
In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
title In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
title_full In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
title_fullStr In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
title_full_unstemmed In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
title_short In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
title_sort in vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
topic JBO Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270690/
https://www.ncbi.nlm.nih.gov/pubmed/35810324
http://dx.doi.org/10.1117/1.JBO.27.7.070501
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